ERIC Number: EJ1139707
Record Type: Journal
Publication Date: 2017
Pages: 5
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1936-346X
EISSN: N/A
Human Machine Learning Symbiosis
Walsh, Kenneth R.; Hoque, Md Tamjidul; Williams, Kim H.
Journal of Learning in Higher Education, v13 n1 p55-62 Spr 2017
Human Machine Learning Symbiosis is a cooperative system where both the human learner and the machine learner learn from each other to create an effective and efficient learning environment adapted to the needs of the human learner. Such a system can be used in online learning modules so that the modules adapt to each learner's learning state both in terms of knowledge and motivation. This paper describes the benefits of such a system and a proposed design that integrates human learning in both the cognitive and affective domains with machine learning which adapts to both.
Descriptors: Online Courses, Learning Motivation, Affective Behavior, Computer Assisted Instruction, Student Motivation, Cooperation, Learning Activities, Instructional Effectiveness, Instructional Design, Cost Effectiveness, Computer Software
JW Press. P.O. Box 49, Martin, TN 38237. Tel: 731-587-4010; Fax: 731-588-0701; Web site: http://JWPress.com
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A